Knowledge and Reference in Empirical Science is a fascinating study of the bounds between science and language: in what sense, and of what, does science provide knowledge? Is science an instrument only distantly related to what's real? Can the language of science be used to adequately describe the truth? In this book, Jody Azziouni investigates the technology of science - the actual forging and exploiting of causal links, between ourselves and what we endeavor to know and understand.

Knowledge and Reference in Empirical Science is a fascinating study of the bounds between science and language: in what sense, and of what, does science provide knowledge? Is science an instrument only distantly related to what's real? Can the language of science be used to adequately describe the truth? In this book, Jodi Azziouni investigates the technology of science - the actual forging and exploiting of causal links, between ourselves and what we endeavor to know and understand.

"[Goldman's] theory of knowing is novel, powerful and yet fairly simple. His attack on skepticism is as persuasive and as well worked-out as any I know."--William Gregory Lycan, University of North Carolina at Chapel Hill "In both conception and execution this is a fine book. . . . Goldman's treatment is fresh and invigorating."--Frederick Schmitt, University of Illinois at Urbana-Champaign "[Goldman's] theory of knowing is novel, powerful and yet fairly simple. His attack on skepticism is as persuasive and as well worked-out as any I know."--William Gregory Lycan, University of North Carolina at Chapel Hill

How did empirical research become the cornerstone of modern science? Scholars have traditionally associated empirical research with the search for knowledge, but have failed to provide adequate solutions to this basic historical problem. This book offers a different approach that focuses on human understanding - rather than knowledge - and its cultural expression in the creation and social transaction of causal explanations. Ancient Greek philosophers professed that genuine understanding of a particular subject was gained only when its nature, or essence, was defined. This ancient mode of explanation furnished the core teachings of late medieval natural philosophers, and was reaffirmed by early modern philosophers such as Bacon and Descartes. Yet during the second half of the 17th century, radical transformation gave rise to innovative research practices that were designed to explain how empirical properties of the physical world were correlated. The study unfolded in this book centres on the works of Robert Boyle, John Locke, and Isaac Newton - the most notable exponents of the 'experimental philosophy' in the late 17th century - to explore how this transformation led to the emergence of a recognizably modern culture of empirical research. Relating empirical with explanatory practices, this book offers a novel solution to one of the major problems in the history of western science and philosophy. It thereby provides a new perspective on the Scientific Revolution and the origins of modern empiricism. At the same time, this book demonstrates how historical and sociological tools can be combined to study science as an evolving institution of human understanding.

One of the pathways by which the scientific community confirms the validity of a new scientific discovery is by repeating the research that produced it. When a scientific effort fails to independently confirm the computations or results of a previous study, some fear that it may be a symptom of a lack of rigor in science, while others argue that such an observed inconsistency can be an important precursor to new discovery. Concerns about reproducibility and replicability have been expressed in both scientific and popular media. As these concerns came to light, Congress requested that the National Academies of Sciences, Engineering, and Medicine conduct a study to assess the extent of issues related to reproducibility and replicability and to offer recommendations for improving rigor and transparency in scientific research. Reproducibility and Replicability in Science defines reproducibility and replicability and examines the factors that may lead to non-reproducibility and non-replicability in research. Unlike the typical expectation of reproducibility between two computations, expectations about replicability are more nuanced, and in some cases a lack of replicability can aid the process of scientific discovery. This report provides recommendations to researchers, academic institutions, journals, and funders on steps they can take to improve reproducibility and replicability in science.

Examines the relationship between making objects and knowing nature in Europe from the mid-15th to mid-19th centuries